{"title":"A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks","doi":"10.1109/CEC.2008.4631167","date_updated":"2021-01-12T07:55:34Z","author":[{"first_name":"Erfu","full_name":"Yang, Erfu","last_name":"Yang"},{"first_name":"Nicholas H","last_name":"Barton","full_name":"Nicholas Barton","orcid":"0000-0002-8548-5240","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Tughrul","last_name":"Arslan","full_name":"Arslan, Tughrul"},{"first_name":"Ahmet","last_name":"Erdogan","full_name":"Erdogan, Ahmet T"}],"month":"09","_id":"4244","date_published":"2008-09-23T00:00:00Z","day":"23","publication_status":"published","date_created":"2018-12-11T12:07:49Z","citation":{"apa":"Yang, E., Barton, N. H., Arslan, T., &#38; Erdogan, A. (2008). A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks (pp. 2749–2756). Presented at the WCCI: IEEE World Congress on Computational Intelligence, IEEE. <a href=\"https://doi.org/10.1109/CEC.2008.4631167\">https://doi.org/10.1109/CEC.2008.4631167</a>","chicago":"Yang, Erfu, Nicholas H Barton, Tughrul Arslan, and Ahmet Erdogan. “A Novel Shifting Balance Theory-Based Approach to Optimization of an Energy-Constrained Modulation Scheme for Wireless Sensor Networks,” 2749–56. IEEE, 2008. <a href=\"https://doi.org/10.1109/CEC.2008.4631167\">https://doi.org/10.1109/CEC.2008.4631167</a>.","mla":"Yang, Erfu, et al. <i>A Novel Shifting Balance Theory-Based Approach to Optimization of an Energy-Constrained Modulation Scheme for Wireless Sensor Networks</i>. IEEE, 2008, pp. 2749–56, doi:<a href=\"https://doi.org/10.1109/CEC.2008.4631167\">10.1109/CEC.2008.4631167</a>.","ama":"Yang E, Barton NH, Arslan T, Erdogan A. A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. In: IEEE; 2008:2749-2756. doi:<a href=\"https://doi.org/10.1109/CEC.2008.4631167\">10.1109/CEC.2008.4631167</a>","ieee":"E. Yang, N. H. Barton, T. Arslan, and A. Erdogan, “A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks,” presented at the WCCI: IEEE World Congress on Computational Intelligence, 2008, pp. 2749–2756.","short":"E. Yang, N.H. Barton, T. Arslan, A. Erdogan, in:, IEEE, 2008, pp. 2749–2756.","ista":"Yang E, Barton NH, Arslan T, Erdogan A. 2008. A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. WCCI: IEEE World Congress on Computational Intelligence, 2749–2756."},"type":"conference","conference":{"name":"WCCI: IEEE World Congress on Computational Intelligence"},"page":"2749 - 2756","status":"public","extern":1,"publisher":"IEEE","quality_controlled":0,"publist_id":"1861","year":"2008","abstract":[{"text":"This paper presents a new approach to optimization of an energy-constrained modulation scheme for wireless sensor networks by taking advantage of a novel bio-inspired optimization algorithm. The algorithm is inspired by Wrightpsilas shifting balance theory (SBT) of evolution in population genetics. The total energy consumption of an energy-constrained modulation scheme is minimized by using the new SBT-based optimization algorithm. The results obtained by this new algorithm are compared with other popular optimization algorithms. Numerical experiments are performed to demonstrate that the SBT-based algorithm could be used as an efficient optimizer for solving the optimization problems arising from currently emerging energy-efficient wireless sensor networks.","lang":"eng"}]}